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Accurately Modeling RNA Stem-Loops in an Implicit Solvent Environment

Authors :
Linzer, Jason T.
Aminov, Ethan
Abdullah, Aalim S.
Kirkup, Colleen E.
Diaz Ventura, Rebeca I.
Bijoor, Vinay R.
Jung, Jiyun
Huang, Sophie
Tse, Chi Gee
Álvarez Toucet, Emily
Onghai, Hugo P.
Ghosh, Arghya P.
Grodzki, Alex C.
Haines, Emilee R.
Iyer, Aditya S.
Khalil, Mark K.
Leong, Alexander P.
Neuhaus, Michael A.
Park, Joseph
Shahid, Asir
Xie, Matthew
Ziembicki, Jan M.
Simmerling, Carlos
Nagan, Maria C.
Source :
Journal of Chemical Information and Modeling; August 2024, Vol. 64 Issue: 15 p6092-6104, 13p
Publication Year :
2024

Abstract

Ribonucleic acid (RNA) molecules can adopt a variety of secondary and tertiary structures in solution, with stem-loops being one of the more common motifs. Here, we present a systematic analysis of 15 RNA stem-loop sequences simulated with molecular dynamics simulations in an implicit solvent environment. Analysis of RNA cluster ensembles showed that the stem-loop structures can generally adopt the A-form RNA in the stem region. Loop structures are more sensitive, and experimental structures could only be reproduced with modification of CH···O interactions in the force field, combined with an implicit solvent nonpolar correction to better model base stacking interactions. Accurately modeling RNA with current atomistic physics-based models remains challenging, but the RNA systems studied herein may provide a useful benchmark set for testing other RNA modeling methods in the future.

Details

Language :
English
ISSN :
15499596 and 1549960X
Volume :
64
Issue :
15
Database :
Supplemental Index
Journal :
Journal of Chemical Information and Modeling
Publication Type :
Periodical
Accession number :
ejs66902752
Full Text :
https://doi.org/10.1021/acs.jcim.4c00756